report_05-07-2025_01-51-20.html

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1245'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1245', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=1611233 parent=1609870 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:51:39.819260220 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1010'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1010', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-11' pid=1616811 parent=1610340 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.241s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1830s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1883s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1926s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1967s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2009s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.2201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.2229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2289s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.6025s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.6052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.6081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.6118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.6146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.6171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.6207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.6237s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.6262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.6303s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.6327s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.6358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.6393s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.6425s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.6450s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.6486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.6514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.6543s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.6587s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.6614s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.6639s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.6673s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.6701s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.6732s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.6768s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.6804s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.6830s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.6832s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.6839s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 38152517 bytes MEM: Free's : 26 free's of 38152517 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:51:52.638175037 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-11: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_749'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_749', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-6' pid=1617613 parent=1609870 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:51:47.857722879 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1258'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1258', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-20' pid=1620072 parent=1609939 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.216s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1893s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1993s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2177s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.2264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.2299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2332s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2369s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2452s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2523s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2563s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2592s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2632s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2696s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2747s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2776s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2804s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2851s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2880s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2910s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2949s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2985s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3016s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3055s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3109s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3210s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3246s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3359s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3361s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3365s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23938893 bytes MEM: Free's : 26 free's of 23938893 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:51:55.572984253 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-20: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1001'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1001', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-22' pid=1620279 parent=1610179 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.206s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.6258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.6309s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.6356s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.6397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.6444s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.6492s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.6529s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.6567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.6612s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.6659s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.6687s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.6732s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.6774s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.6808s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.6849s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.6887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.6920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.6965s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.7001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.7036s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.7084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.7120s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.7150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.7199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.7233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.7267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.7305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.7331s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.7358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.7397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.7432s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.7463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.7500s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.7528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.7553s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.7592s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.7628s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.7657s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.7693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.7725s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.7752s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.7754s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.7760s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18723277 bytes MEM: Free's : 26 free's of 18723277 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:51:54.354543023 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-22: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1291'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1291', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-28' pid=1631278 parent=1610041 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.161s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.5263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.5301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.5328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.5350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.5370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.5385s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.5401s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.5419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.5431s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.5460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5509s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.5524s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.5542s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.5555s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.5574s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.5589s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5609s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5623s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5641s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5657s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5668s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5686s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5702s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5720s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5770s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5785s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5803s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5823s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5834s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5846s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5866s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5884s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5900s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5924s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5939s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5984s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5985s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5993s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 38337377 bytes MEM: Free's : 26 free's of 38337377 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:52:09.576808837 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-28: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_501'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_501', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-33' pid=1632355 parent=1609658 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:52:09.193413298 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-33: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1493'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1493', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-36' pid=1637929 parent=1609658 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:52:15.226011352 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-36: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1259'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1259', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-60' pid=1638090 parent=1609655 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.195s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1985s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.2020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.2073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2121s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.9678s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.9755s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.9780s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.9817s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.9842s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.9861s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.9879s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.9898s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.9919s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.9935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.9947s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.9960s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.9977s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.9989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.10003s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.10016s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.10033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.10197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.10214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.10230s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.10248s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.10264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.10283s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.10296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.10311s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.10328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.10341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.10352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.10364s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.10380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.10397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.10410s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.10412s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.10418s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 57685549 bytes MEM: Free's : 26 free's of 57685549 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:52:19.334275333 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-60: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1002'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1002', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-27' pid=1642400 parent=1609743 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.13s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.14s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.364s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.3092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.3166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.3253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.3318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.3380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3495s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3600s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3648s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3756s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3825s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3929s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.4043s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.4244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.4299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.4350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.4393s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.4440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.4485s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.4527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.4581s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.4623s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.4674s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.4734s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.4792s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.4844s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.4905s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.4943s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5032s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5097s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5308s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5311s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5324s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 36947477 bytes MEM: Free's : 26 free's of 36947477 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:52:23.298847889 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-27: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_762'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_762', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-42' pid=1647623 parent=1609874 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.13s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.212s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1766s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1813s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1854s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1876s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1910s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1956s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.2020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.2038s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2097s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2206s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2225s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2251s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2297s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2314s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2393s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2441s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2465s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2488s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2504s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2534s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2605s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2627s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2651s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2673s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2699s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2727s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2728s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2736s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 20255149 bytes MEM: Free's : 26 free's of 20255149 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:52:29.310801408 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-42: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_997'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_997', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-64' pid=1650316 parent=1609655 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:52:27.912828090 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-64: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1043'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1043', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-47' pid=1654534 parent=1610306 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.13s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.14s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.306s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2937s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.3041s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.3104s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.3163s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.3228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3459s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3509s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3558s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3617s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3683s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3740s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3788s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3849s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.3894s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.3944s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3991s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.4089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.4149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.4194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.4238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.4286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.4333s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.4376s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.4431s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.4476s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.4523s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.4576s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.4626s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.4668s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.4718s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.4769s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.4823s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.4883s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.4934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.4977s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5105s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5110s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5117s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 24037773 bytes MEM: Free's : 26 free's of 24037773 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:52:36.230809270 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-47: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.